Architect and lead the design of data systems serving both operational business stakeholders and product/engineering teams.
Extend internal AI platform and bring software engineering rigor to data work including testing, CI/CD, and code review.
Build and own data models, partner with product engineering, and mentor teammates to raise the technical bar.
ZipRecruiter is a leading online employment marketplace powered by AI-driven intelligent matching technology. The company has the #1 rated job search app on iOS & Android and connects job seekers with millions of businesses.
Generate insights that drive strategic direction through proactive analysis.
Bring data-driven rigor to product development and structure complex projects.
Create metrics to understand user behavior and drive product decisions.
Monzo is a digital bank on a mission to make money work for everyone, offering personal and business accounts, savings, investments, and pensions. With over 12 million customers in the UK and a strong culture of data-driven decision making, they have built a product that people love, with over 80% of growth coming from word of mouth and referrals.
Instrument fal's core infrastructure to capture CPU, GPU, and request-level signals.
Build ingestion pipelines from partner APIs, compute vendors, and internal services into BigQuery.
Design and operate the ETL backbone that powers cost, margin, and usage analytics.
Fal is the generative media ecosystem powering the next generation of AI products. They build the infrastructure, tools, and model access that teams need to move from idea to production at scale.
Design and evolve scalable data platforms, ensuring reliability and governance.
Define data architecture standards, models, and integration patterns for business needs.
Collaborate with stakeholders to translate requirements into cloud-based data solutions.
Nortal shapes digital transformation with complex solutions for global enterprises and the public sector. With over 25 years of experience and 160+ new hires yearly, the company fosters a culture of autonomy, open communication, and diversity.
Play a crucial role in helping client organizations transform raw data into reliable, well-modeled assets that drive business decisions.
Design, build, and maintain scalable data pipelines and ELT workflows, with Databricks as the primary platform.
Collaborate with data engineers, analysts, and clients on end-to-end data requirements and project delivery.
Velir is an established mid-sized agency with a top-tier portfolio of clients, ranging from the world’s largest non-profits to Fortune 500 brands. Our culture is built on a foundation of trust, collaboration, and continued improvement, and we are a remote first company that offers competitive pay and excellent benefits.
Own the transformation layer, including design, build, and maintenance of complex dbt models for internal and customer analytics.
Manage and monitor data ingestion pipelines to ensure high availability and low latency.
Optimise cloud data warehouse performance and build automated testing frameworks to proactively catch data issues.
i6 provides the world’s most advanced end-to-end aviation fuel management technology, enabling operational efficiency, transparency, and sustainability for airlines and fuel suppliers. They are a remote-first company with offices in the UK and recently raised Series B funding.
Lead the design and implementation of enterprise data architecture solutions for a large-scale data modernization initiative within the justice domain.
Collaborate with technical and business stakeholders to define data models, ensure data quality, and enable more efficient access to justice information.
Support testing and validation of data models, ETL processes, and reporting (including Power BI) for analytical use cases.
Jobgether is a job platform that uses AI-powered matching to connect candidates with hiring companies. It is a technology-driven recruitment service focused on efficient and objective candidate evaluation.
Deliver high impact code to create pipelines, visualizations, and dashboards that enable informed decision-making at scale.
Operate as a senior technical expert in data and analytics engineering, leading architecture discussions and implementing robust, scalable data models.
Collaborate cross-functionally with Product Managers, Engineers, and Business Stakeholders to capture requirements and translate them into technical solutions.
Lovevery is a fast-growing digitally native brand co-founded by successful serial entrepreneurs and based in Boise, Idaho, taking a science-based approach to help parents give their children meaningful development experiences. Named one of Fast Company's 10 most innovative companies of 2024, Lovevery has received awards from TIME, Red Dot, Good Housekeeping and Forbes.
Collaborate with stakeholders to gather reporting and data infrastructure requirements.
Design, build, and maintain automated dashboards and scalable analytics infrastructure.
Develop, optimize, and maintain large-scale ETL pipelines for campaign reporting and analytics.
ItD blends diversity, innovation, and integrity with real business results as a woman- and minority-led firm. They reject any strong hierarchy, empowering them to deliver excellent results and thrive in a dynamic environment with empowerment and recognition.
Lead, coach, and develop a distributed team of SQL engineers across the US and Eastern Europe.
Own the end-to-end service model for custom analytics requests, including intake, scoping, QA, and delivery.
Serve as customer-facing technical leader, translating business questions into clear SQL deliverables.
Triple Whale is an AI operating system for ecommerce, helping brands turn data into profitable actions. With over 60,000 brands using the platform, we value speed, trust, curiosity, and integrity in a fast-paced environment.
Build and maintain an internal Data warehouse that aggregates and organizes data from various source systems.
Build dynamic reports to facilitate complex business analyses and enable business users to answer their most important data-driven questions.
Help communicate across different business groups in order to bring a source of truth to data.
Revinate is a direct booking platform that leads the hospitality industry in driving direct revenue and increased profitability. With their products and people, they give hoteliers the superpowers they need to crush their goals, shifting share away from OTAs and driving tangible results. They power 1.1 billion Rich Guest Profiles across 12,500+ hotels to drive over $24 billion in direct revenue.
Own end-to-end analytical problems from framing through modeling and stakeholder rollout.
Build predictive and inferential models to improve product and operational decisions.
Partner with Product, Engineering, and Operations to define metrics and drive insights.
Focal Systems is the industry leader in retail AI solutions, using deep learning computer vision to automate and optimize brick and mortar retail. They are a tight-knit team with an ambitious mission, deployed at scale with top retailers worldwide.
Architect and build the semantic layer powering AI-driven analytics.
Design, build, and refactor DBT models to maintain a trustworthy source of truth for enterprise KPIs.
Bring data to life with compelling presentations and reports that drive key decisions and actions.
Roofr is focused on providing their customers with the tools that they need. They have built a CRM that connects solutions such as payments, material ordering, and more into a platform.
Partner with business stakeholders across Operations, Customer Success, Product, Growth, and Learning to drive data-informed decisions.
Own data modeling and engineering, ensuring data quality and trust in dashboards and pipelines.
Advance AI-native data practices and collaborate with engineering on analytics architecture.
Pathstream transforms frontline employees into strategic contributors through enterprise partnerships. We are a mission-driven team of ~60 employees with a tight-knit, hardworking culture focused on scaling our solution across the United States.
Develop machine learning and AI solutions for forecasting, anomaly detection, and operational intelligence.
Design scalable enterprise data architectures and build ETL/ELT pipelines for analytics and AI workloads.
Partner with stakeholders to define metrics, lead technical reviews, and mentor team members.
DataDirect Networks (DDN) is a global market leader in AI and high-performance data storage innovation, powering many of the world's most demanding AI data centers across industries like life sciences, healthcare, financial services, and research. With a proven track record of performance and scalability, DDN fosters a culture of innovation, customer-centricity, and passionate professionals committed to excellence.
Work with large data sets and implement sophisticated data pipelines with both structured and semi-structured data.
Collaborate with stakeholders to design scalable solutions and manage internal data pipelines.
Define data governance policies and leverage AI tools to streamline data pipeline development.
For over four decades, PAR Technology Corporation has been a leader in restaurant technology, empowering brands worldwide to create lasting connections with their guests. With over 100,000 restaurants in more than 110 countries, we embrace a 'Better Together' ethos and offer comprehensive software and hardware solutions.
Build, maintain, and scale data pipelines integrating internal and external data into the warehouse.
Partner with internal stakeholders and engineering teams to understand analysis needs and improve data logging.
Participate in architectural decisions and evangelize data engineering best practices.
OXIO is the world’s first telecom-as-a-service platform, democratizing telecom for brands and enterprises to own proprietary mobile networks. The company is a rapidly growing startup with a diverse and inclusive team.
Lead the design and evolution of scalable financial data systems supporting commissions, incentives, and payments.
Build and maintain robust data pipelines using Python, SQL, Spark, and Terraform for accuracy and performance.
Define technical strategy and roadmap for financial data operations in collaboration with stakeholders.
Our partner is a fast-growing technology company building financial data infrastructure for insurance operations. They have a remote-friendly work environment and emphasize engineering excellence and cross-functional collaboration.
Design and implement data-driven solutions on GCP including BigQuery, Cloud Storage, Dataflow, Pub/Sub, and Looker/BI.
Build and optimize ETL pipelines using SQL and Python to extract, clean, and transform structured and unstructured data from ERP, procurement, logistics, and facility management systems.
Ensure data governance, lineage, and compliance across supply chain datasets while continuously optimizing query performance and pipeline reliability.
Innodata is a global data engineering company that enables the responsible advancement of artificial intelligence by providing data, evaluation frameworks, and human expertise. With over 36 years of legacy, Innodata delivers high-quality data and outstanding outcomes for generative AI builders and adopters.
Build upon and scale our current data infrastructure to meet evolving business needs and capture critical business logic.
Work closely with the Senior Analytics Engineering Manager to create and improve data models and development environments.
Contribute expertise and promote best analytics engineering practices through collaboration with other data teams and stakeholders.
GOAT Group operates leading platforms for authentic sneakers, apparel, and accessories, with brands like GOAT, Flight Club, and Grailed. They have a global community of over 60 million members across 170 countries, offering a wide range of styles through digital platforms and retail locations.